France - NM1
Standings
France - NM1 basketball (FRA-3)
Standings for 2002-2003 season
Rk | Team | % Victory | Gp | Gw | GL | Pts+ | Pts- | Pts+ /g | Pts- /g | Diff | Expected Winning % |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | Rouen | 83.3 | 30 | 25 | 5 | 2665 | 2260 | 88.8 | 75.3 | 13.5 | 90.8 |
2 | Angers | 80.0 | 30 | 24 | 6 | 2544 | 2233 | 84.8 | 74.4 | 10.4 | 86.0 |
3 | Quimper | 66.7 | 30 | 20 | 10 | 2378 | 2208 | 79.3 | 73.6 | 5.7 | 73.7 |
4 | Valence-Condom | 60.0 | 30 | 18 | 12 | 2624 | 2490 | 87.5 | 83.0 | 4.5 | 67.5 |
5 | Bondy | 60.0 | 30 | 18 | 12 | 2466 | 2373 | 82.2 | 79.1 | 3.1 | 63.1 |
6 | Nanterre | 56.7 | 30 | 17 | 13 | 2551 | 2467 | 85.0 | 82.2 | 2.8 | 61.4 |
7 | Levallois MBC | 56.7 | 30 | 17 | 13 | 2364 | 2306 | 78.8 | 76.9 | 1.9 | 58.6 |
8 | Autun | 53.3 | 30 | 16 | 14 | 2507 | 2346 | 83.6 | 78.2 | 5.4 | 71.6 |
9 | Saint-Chamond | 50.0 | 30 | 15 | 15 | 2524 | 2467 | 84.1 | 82.2 | 1.9 | 57.9 |
10 | Poitiers | 50.0 | 30 | 15 | 15 | 2313 | 2300 | 77.1 | 76.7 | 0.4 | 52.0 |
11 | Longwy | 50.0 | 30 | 15 | 15 | 2617 | 2620 | 87.2 | 87.3 | -0.1 | 49.6 |
12 | Denek Bat Urcuit | 46.7 | 30 | 14 | 16 | 2471 | 2441 | 82.4 | 81.4 | 1.0 | 54.2 |
13 | Feurs | 36.7 | 30 | 11 | 19 | 2382 | 2512 | 79.4 | 83.7 | -4.3 | 32.3 |
14 | Pôle France | 26.7 | 30 | 8 | 22 | 2062 | 2419 | 68.7 | 80.6 | -11.9 | 9.8 |
15 | Rodez | 16.7 | 30 | 5 | 25 | 2420 | 2933 | 80.7 | 97.8 | -17.1 | 6.5 |
16 | Sablé | 6.7 | 30 | 2 | 28 | 2446 | 2959 | 81.5 | 98.6 | -17.1 | 6.6 |
Standings glossary
Stats abbreviations
- Rk: rank
- % Victory: number of win / number of games played
- Gp: number of games played
- Gw: number of games won
- GL: number of games lost
- Pts+: total number of points scored by the team
- Pts-: total number of points scored by opposing teams
- Pts+ /g: total number of points scored by the team per game
- Pts- /g: total number of points scored by opposing teams per game
- Diff: difference between points scored and received per game
- Expected Winning %: through our basketball statistical database and the use of advanced stats, we are able to project a team’s win percentage which then allows us to project how many wins a team is expected to have. These projections are a unique way to understand whether a team has played better or worse than their record indicates.